基于工作探测系统的工作特性分析

Toshimasa Aso
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引用次数: 0

摘要

本文介绍了在两个仓库中进行的两个实验,工作要素估算方法的性能评估,以及用于分析工作特征的云服务器。本文测量了一个服装仓库和一个宠物保健产品仓库的7名员工。性能评估结果表明,工作元估算的平均误差约为3%。接下来,实现云服务器。用户可以下载Excel文件,将分析结果可视化。该文件显示了与挑选货物、步行和发现货物或地点相关的生产率。使用该文件,运营经理可以直观地了解生产力问题。由于该文件还可以帮助管理人员提出适当的策略,这可能涉及开发新的竞争优势或优化现有的竞争优势,因此云服务器在实践中非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of work characteristics based on work probe system
This paper describes two experiments in two warehouses, performance evaluation of a work element estimation method, and a cloud server for analysis of work characteristics. This paper measures seven employees in an apparel warehouse and a warehouse that stocks pet health products. Results of performance evaluation show that the average error of the work element estimation is about 3%. Next, the cloud server is implemented. A user can download an Excel file that visualizes analysis results. The file shows productivities related to pick of goods, walks, and finds of goods or location. Using the file, operations managers can intuitively understand productivity problem. Because the file also helps the managers in coming up with appropriate strategy, which may involve developing new competitive advantages or optimizing existing ones, the cloud server is useful in practice.
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